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发明公开
CN110647784A 一种基于深度学习的设备资产管理的方法及装置 审中-实审

一种基于深度学习的设备资产管理的方法及装置
摘要：
本发明的实施例公开了一种基于深度学习的设备资产管理的方法及装置，该方法针对采集的设备铭牌的图像，在判断其清晰度符合预设清晰度要求后，通过预先训练的第一模型和第二模型识别出图像中的字符串，再根据预设产品字典库和识别出的字符串确定出对应于设备铭牌的设备的标识信息，将该标识信息进行存储，以便于根据标识信息管理各设备。该方法对于设备铭牌上的字符的识别不再依赖人工，而是通过训练的模型实现对字符的识别，从而实现对设备资产的管理，不仅降低了管理成本，也降低了人工管理的错误率，实现了对设备资产管理的自动化。
摘要（英）：

The embodiment of the invention discloses an equipment asset management method and device based on deep learning. After it is judged whether the definition of an acquired image of an equipment nameplate meets a preset definition requirement, the character string in the image is recognized through the first model and the second model which are trained in advance, then the identification informationof the equipment corresponding to the equipment nameplate is determined according to the preset product dictionary library and the recognized character string, and the identification information is stored, so that the equipment is managed according to the identification information. According to the method, the identification of the characters on the equipment nameplate does not depend on manpower any more, and the identification of the characters is realized through the trained model, so that the management of the equipment assets is realized, the management cost is reduced, the error rate of manual management is reduced, and the automation of the management of the equipment assets is realized.

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